期刊文献+

STFT和S变换在含噪声电压谐波检测中的应用 被引量:1

Application in Noise Signal Detection Based on STFT and S Transform
在线阅读 下载PDF
导出
摘要 针对电力系统中经常出现的噪声信号,本文提出了短时傅里叶变换和S变换的基本原理,对含有噪声的电压谐波信号进行了傅里叶变换和S变换的MATLAB仿真。用5%的布莱克曼窗对原始信号截取,三次多项式对原始信号进行了拟合,并用三次方根值对S变换的模矩阵进行改进计算,得到了谐波信号的参数指标。仿真结果证明,改进后的S变换克服了短时傅里叶变换的缺点,减少了频谱泄漏,为谐波检测中提供了一种有效的检测方法。 For noise signal that often occurs in the power system, this paper proposes an algorithm based on S transform matrix, introduces the basic principle of short-time Fourier transform and S transform., and MATLAB simulation. This research uses %5 blackman window, cubic polynomial to fit the original signal and three root value of S transform matrix to improve the calculated accuracy and gets the parameters of the noise signal.The simulation results show that the improved S transform overcomes the disadvantage of short time Fourier, more effectively reduces the spectrum leakage. It provides an effective detection method in the noise detection.
作者 徐健 宋双双
出处 《自动化技术与应用》 2015年第12期85-89,共5页 Techniques of Automation and Applications
基金 PCI数据采集的电能质量监测和评估系统研究(2013JK1015)
关键词 噪声 短时傅里叶变换 S变换 MATLAB 频谱泄漏 电力系统 noise signal short-time Fourier transform S transform MATLAB spectrum leakage power system
  • 相关文献

参考文献12

  • 1张伏生,耿中行,葛耀中.电力系统谐波分析的高精度FFT算法[J].中国电机工程学报,1999,19(3):63-66. 被引量:485
  • 2陈祥训.利用小波变换测量与识别轻微幅度变化与相位变化的方法[J].中国电机工程学报,2003,23(12):12-18. 被引量:10
  • 3DASH P K PANIGRAHI B K,SAHOO D K,et al.Power quality disturbance data compression, detection,and classification using integrated spline wavelet and S-transform[C].IEEE Transactions on Power Delivery.2003.
  • 4STOCKWELL R G,MANSINHA L,LOWE R P.Localization of the Complex Spectrum:The S Tran sform[C].IEEE Transactions on Signal Processing. 1996.
  • 5DASH P K,PANIGRAHI B K,SAHOO D K,et al.Power quality disturbance data compression,detec tion,and classification using integrated spline wavelet and S-transform[C].IEEE Transactions on PowerDelivery. 2003.
  • 6BOLLEN M H J, Understanding power quality problem,voltage sags and interruption[C].IEEE Press Series on Power Engineering.2000.
  • 7YOUSSEF A M,ABDEL-GALIL T K,EL-SA ADANY E F,et al.Disturbance classification utilizing dy namic time warping classifier[J].IEEE Transon Power Delivery, 2004,19(1 ): 272-278.
  • 8占勇,程浩忠,丁屹峰,吕干云,孙毅斌.基于S变换的电能质量扰动支持向量机分类识别[J].中国电机工程学报,2005,25(4):51-56. 被引量:123
  • 9刘守亮,肖先勇,杨洪耕.基于S变换模时频矩阵相似度的短时电能质量扰动分类[J].电网技术,2006,30(5):67-71. 被引量:58
  • 10CHILUKURI M V,DASH P K.Multiresolution S-transform-based fuzzy recognition system for power quality events[J].IEEE Trans on Power Delivery, 2004, 19(1 ) : 323- 330.

二级参考文献47

  • 1王成山,王继东.基于小波包分解的电能质量扰动分类方法[J].电网技术,2004,28(15):78-82. 被引量:68
  • 2马骞,杨以涵,刘文颖,齐郑,郭金智.多输入特征融合的组合支持向量机电力系统暂态稳定评估[J].中国电机工程学报,2005,25(6):17-23. 被引量:140
  • 3[1]Gaouda A M,et al.Power quality detection and classification using wavelet-multiresolution signal decomposition [J].IEEE Trans. Power Delivery,1999,14(4):1469-1476.
  • 4[2]Application of multiresolution signal decomposition for monitoring short-duration variations in distribution systems[J].IEEE Trans. Power Delivery,2000,15(2):478-485.
  • 5[3]Santoso S,Powers E J,et al.Power quality disturbance waveform recognition using wavelet-based neural classifier?Part 1: Theoretical foundation, Part 2: Application [J].IEEE Trans. Power Delivery,2000,15(1):222-235.
  • 6[4]Karimi M,Mokhtari H H,Iravani R.Wavelet based on-line disturbance detection for power quality applications [J].IEEE Trans. Power Delivery,2000,15(4):1212-1220.
  • 7[5]Angrisani L,Daponte P,D'Apuzzo M.A measurement method based on the wavelet transform for power quality analysis [J].IEEE Trans. Power Delivery,1998,13(4):990-998.
  • 8[6]Poisson O,Rioual P,Meunier M.Detection and measurement of power quality disturbances using wavelet transform [J].IEEE Trans. Power Delivery,2000,15(3):1039-1044.
  • 9[7]Huang S J,et al.Application of morlet wavelets to supervise power system disturbances[J].IEEE Trans. Power Delivery,1999,14(1): 235-243.
  • 10[8]Chen Xiangxun,Measurement and classification of power quality disturbances using wavelet transform[A].Digest of Confrence on Precision Electromagnetic Measurements 2002 (IEEE IMS CPEM2002) [C].June 16-21, 2002:38-39.

共引文献655

同被引文献20

  • 1戴先中,王勤.一种用于周期信号谐波分析的快速算法[J].仪器仪表学报,1996,17(5):455-459. 被引量:12
  • 2张斌,孙静.基于Mallat算法和快速傅里叶变换的电能质量分析方法[J].电网技术,2007,31(19):35-40. 被引量:44
  • 3AMETANI A. Harmonic reduction in thyristor converters by harmonic current injection [ J]. IEEE Transaction on Power Systems, 1976, 95 (2) :441-449.
  • 4HEYDT G T, JEWELL W T. Pitfalls of electric power quality indices [ J ]. IEEE Transactions on Power Delivery, 1998, 13 (2) :570-578.
  • 5YAO W X, TENG ZH SH, TANG Q, et al. Measurement of power system harmonic based on adaptive Kaiser self-convolution window [ J ]. IET Generation, Transmission and Distribution, 2016, 10(2) : 390-398.
  • 6JA1N S K, S. Singh N. Low-order dominant harmonic estimation using adaptive wavelet neural network [ J ]. IEEE Transactions on Industrial Electronics, 2014, 61 ( 1 ) : 428-435.
  • 7TIWARIV K, Sachin K. Hardware implementation of polyphase-decomposition-based wavelet filters for power systems harmonics estimation [ J ]. IEEE Transactions on Instrumentation and Measurement, 2016, 65 (7) : 1585- 1595.
  • 8LIN L, WANG Y, ZHOU H M. Iterative filtering as an alternative algorithm for empirical mode decomposition [ J ]. Advances in Adaptive Data Analysis, 2009, 1 (4): 543-560.
  • 9CICONE A, LIU J F, ZHOU H M. Adaptive local iterative filtering for signal decomposition and instantaneous frequency analysis [ J ]. Applied and Computational Harmonic Analysis, 2016, 41 ( 2 ) : 384-411.
  • 10AFRONI M J, SUTANTO D, STIRLING D. Analysis of nonstationary power-quality waveforms using iterative Hilbert transform and Sax algorithm [ J ]. IEEE Transactions on Power Delivery, 2013, 28 ( 4 ) : 2134-2144.

引证文献1

二级引证文献13

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部